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Emotion Recognition in Intelligent Tutoring Systems for Android-Based Mobile Devices

  • Ramón Zatarain-Cabada
  • María Lucía Barrón-Estrada
  • Giner Alor-Hernández
  • Carlos A. Reyes-García
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8856)

Abstract

In this paper, we present a Web-based system aimed at learning basic mathematics. The Web-based system includes different components like a social network for learning, an intelligent tutoring system and an emotion recognizer. We have developed the system with the goal of being accessed from any kind of computer platform and Android-based mobile device. We have also built a neural-fuzzy system for the identification of student emotions and a fuzzy system for tracking student´s pedagogical states. We carried out different experiments with the emotion recognizer where we obtained a success rate of 96%. Furthermore, the system (including the social network and the intelligent tutoring system) was tested with real students and the obtained results were very satisfying.

Keywords

Intelligent Tutoring Systems Affective Computing Social Intelligence Artificial Neural Networks Mobile learning 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Ramón Zatarain-Cabada
    • 1
  • María Lucía Barrón-Estrada
    • 1
  • Giner Alor-Hernández
    • 2
  • Carlos A. Reyes-García
    • 3
  1. 1.Instituto Tecnológico de CuliacánCuliacánMéxico
  2. 2.Instituto Tecnológico de OrizabaOrizabaMéxico
  3. 3.Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE)Sta. Ma. TonanzintlaMéxico

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